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Data Management at CSHL: Home

Introduction to Data Management

Data management is "the development, execution and supervision of plans, policies, programs and practices that control, protect, deliver and enhance the value of data and information assets". The goal is to make doing research easier and more effective.

In a scientific, academic setting this means developing plans and policies for how data generated in the laboratory, as a result of experimentation, is stored and saved so it can be used and more easily understood by scientists other than those that originally generated it.

Data Life Cycle:                      

There are several freely available couses / tutorials aimed to teach the best practices for data management:

Why is Data Management important?

  • Saves times and resources by planning ahead
  • Makes it easier to generate the information required for publication
  • Increases the discoverability and shareability of the data in your publication .
  • Decreases the likelihood of catastrophic data loss
  • Discourages unintentional redundancy
  • Meets important funder mandates and grant requirements
  • Saves everyone time and money
  • Preserves your data
  • Maintains data integrity
  • Supports data sharing policies
  • Ultimately increases research impact and recognition


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Tom A
Cold Spring Harbor Laboratory
One Bungtown Road
Cold Spring Harbor, NY 11724